Upload Records Snowball Search Search OpenAlex
About the database ScholarIQanswers from OpenAlex
Leaf Properties and Growth Measurement
TopicLeading institutions, researchers & key papers
This cluster of papers focuses on the development and validation of non-destructive methods for estimating leaf area in various plant species. The methods include digital image analysis, allometric models, linear measurements, and artificial neural networks. The research also covers the relationship between leaf area and plant growth, as well as phytochemical studies.
180
Works
IDs:OpenAlex
How has Leaf Properties and Growth Measurement's publication output changed over time?
ScholarIQpublication output · 2004–2023
Output grew0% over the shown period — from 1 works in 2004 to 1 in 2023.
1
1
1
1
3
1
200420142016201920202023
What are the most-cited papers on Leaf Properties and Growth Measurement?
ScholarIQmost cited works
Crop growth estimation system using machine vision
Takao Kataoka, T. Kaneko, Hiroshi Okamoto, Shun-ichi Hata
2004358 Citations
From the Arctic to the tropics: multibiome prediction of leaf mass per area using leaf reflectance
Shawn Serbin, Jin Wu, Kim Ely, Eric L. Kruger, Philip A. Townsend, Ran Meng, Brett T. Wolfe, Adam Chlus, Zhihui Wang, Alistair Rogers
S58631098. 2019152 CitationsOPEN ACCESS
Growth monitoring of greenhouse lettuce based on a convolutional neural network
Lingxian Zhang, Zanyu Xu, Dan Xu, Juncheng Ma, Yingyi Chen, Zetian Fu
S2764753230. 2020108 CitationsOPEN ACCESS
Landmark-free statistical analysis of the shape of plant leaves
Hamid Laga, Sebastian Kurtek, Anuj Srivastava, Stanley J. Miklavcic
S109682412. 201471 Citations
An Analysis of Leaf Chlorophyll Measurement Method Using Chlorophyll Meter and Image Processing Technique
Amar Kumar Dey, Маниша Шарма, M.R. Meshram
Procedia Computer Science. 201670 CitationsOPEN ACCESS
Where is Leaf Properties and Growth Measurement research published, and who funds it?
ScholarIQvenues & funding sources
TOP JOURNALS
TOP FUNDERS
National Science Foundation—
NIH—
Wellcome Trust—
European Research Council—
Funder breakdown is a member featureSign up free to unlock
How much of the research on Leaf Properties and Growth Measurement is open access?
ScholarIQopen access share
38%OPEN ACCESS
Gold
25%
Green
0%
Hybrid
0%
Bronze
13%
Closed
63%
Related on ScholarIQ
A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition
Paper
Using deep transfer learning for image-based plant disease identification
Paper
Estimating chlorophyll content from hyperspectral vegetation indices: Modeling and validation
Paper
Plant Disease Detection and Classification by Deep Learning
Paper
ToLeD: Tomato Leaf Disease Detection using Convolution Neural Network
Paper
An automated detection and classification of citrus plant diseases using image processing techniques: A review
Paper